How Codeer works

Let one expert’s method serve more people,while every judgment stays with the organization

Codeer lets agents handle professional work your team can define and verify, while each new case, correction, and boundary becomes a standard the next version must keep.

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One professional methodExpert-led

  1. Experts define

    • Confirm the goal and constraints first
    • Do not recommend when information is missing
    • Hand back work outside the approved scope

  2. The agent handles

    I’ll confirm your use case and constraints before comparing the options.

  3. Customers and teammates use it

    Customer-facing workInternal team work
A new situation appears

How should this exception be handled?

The expert decides, and the standard stays for the next version

An expert-led agent in real use

Professor Ji-Ren Lee’s strategy agent helps more people use the same strategy method

The agent handles guidance and judgments that can already be defined. New questions and exceptions return to Professor Lee, where they can become material for the next improvement.

Defined work
The agent guides users with the established strategy method
New exceptions
The expert decides instead of letting AI invent the standard
What remains
Confirmed situations can become cases the next version must still pass

One expert-led loop creates two lasting outcomes

The value is not only that an agent can answer today. It is that expert capacity expands while the organization keeps what it learns.

Impact

Expand one expert’s impact

The agent handles professional interactions the team can already define and verify. The expert does not need to repeat every conversation, while customers and teammates can still use the same method and boundaries.

The expert’s time moves to new exceptions, high-value cases, and questions that do not yet have a stable answer.

One approved method, used in more places

Experts define
  • Customers
  • Frontline teams
  • New teammates

Asset

Keep expert judgment as an asset the organization can improve

Cases, corrections, and boundaries confirmed by experts stay as checks the team can rerun when it changes the agent, updates the model, or hands work to new people.

What accumulates is not a pile of chat logs. It is professional judgment the organization does not want to lose.

Standards that stay across versions

  • Approved cases
  • New exceptions
  • Handoff boundaries
Recheck after every change

How one real case creates both outcomes

Start by helping the agent do one recurring job well. Then keep each new professional judgment for the next use.

Representative situationA user asks whether a particular option is right for them
  1. 1

    Choose the work and its boundary

    The first version only handles situations where the team can clearly judge what good looks like.

  2. 2

    Define good work with a real case

    When information is missing, ask first. When risk is too high, hand the work back to a person.

  3. 3

    Let the agent serve within the verified scope

    Customers and teammates can use the same method without waiting for the expert to repeat it.

  4. 4

    Keep each new judgment

    After the expert decides a new exception, it becomes an eval case that later versions must still pass.

The result of the loopThe agent gradually handles more defined situations, while confirmed professional judgment stays with the organization.

Give the agent work that can be clearly definedKeep the expert’s time for the work that cannot yet be explained

Expert-led does not mean the expert leaves the work. It means the expert spends time where the agent should not decide on its own.

Give to the agent

  • Recurring work with a clear success standard
  • Judgments, replies, and deliverables that can be checked with cases
  • Situations with a defined way to ask, refuse, or hand off

Keep with the expert

  • New or ambiguous problems without a stable answer
  • High-risk or consequential final decisions
  • Exceptions that require a new professional judgment

You do not need a complete knowledge base, and you do not need to review every conversation.

Start with one case you still handle yourself today

Show us how the work happens, what good looks like, and which situations must return to a person. Together, we can decide what the first agent should safely handle.

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